Instructions to use abegerho/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abegerho/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abegerho/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 804
Browse files
README.md
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model_name: result
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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- TRL: 0.22.2
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- Transformers: 5.3.0
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- Pytorch: 2.
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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model_name: result
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tags:
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- generated_from_trainer
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- unsloth
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- sft
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- trl
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licence: license
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---
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- TRL: 0.22.2
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- Transformers: 5.3.0
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- Pytorch: 2.7.1
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- Datasets: 4.3.0
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- Tokenizers: 0.22.2
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adapter_model.safetensors
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runs/Apr07_13-25-51_7767d88c128b/events.out.tfevents.1775568351.7767d88c128b.7547.0
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training_args.bin
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